Dataset statistics
| Number of variables | 28 |
|---|---|
| Number of observations | 2240 |
| Missing cells | 24 |
| Missing cells (%) | < 0.1% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 1.1 MiB |
| Average record size in memory | 503.4 B |
Variable types
| Numeric | 14 |
|---|---|
| Categorical | 14 |
Income has a high cardinality: 1974 distinct values | High cardinality |
Dt_Customer has a high cardinality: 663 distinct values | High cardinality |
Kidhome is highly correlated with NumCatalogPurchases | High correlation |
MntWines is highly correlated with MntMeatProducts and 3 other fields | High correlation |
MntFruits is highly correlated with MntMeatProducts and 2 other fields | High correlation |
MntMeatProducts is highly correlated with MntWines and 5 other fields | High correlation |
MntFishProducts is highly correlated with MntFruits and 3 other fields | High correlation |
MntSweetProducts is highly correlated with MntFruits and 2 other fields | High correlation |
NumWebPurchases is highly correlated with MntWines and 1 other fields | High correlation |
NumCatalogPurchases is highly correlated with Kidhome and 5 other fields | High correlation |
NumStorePurchases is highly correlated with MntWines and 2 other fields | High correlation |
NumWebVisitsMonth is highly correlated with MntMeatProducts and 1 other fields | High correlation |
Kidhome is highly correlated with MntWines and 3 other fields | High correlation |
MntWines is highly correlated with Kidhome and 8 other fields | High correlation |
MntFruits is highly correlated with MntWines and 6 other fields | High correlation |
MntMeatProducts is highly correlated with Kidhome and 8 other fields | High correlation |
MntFishProducts is highly correlated with MntWines and 6 other fields | High correlation |
MntSweetProducts is highly correlated with MntWines and 6 other fields | High correlation |
MntGoldProds is highly correlated with MntWines and 7 other fields | High correlation |
NumWebPurchases is highly correlated with MntWines and 4 other fields | High correlation |
NumCatalogPurchases is highly correlated with Kidhome and 9 other fields | High correlation |
NumStorePurchases is highly correlated with Kidhome and 8 other fields | High correlation |
NumWebVisitsMonth is highly correlated with NumCatalogPurchases | High correlation |
Kidhome is highly correlated with NumCatalogPurchases | High correlation |
MntWines is highly correlated with MntMeatProducts and 3 other fields | High correlation |
MntFruits is highly correlated with MntMeatProducts and 2 other fields | High correlation |
MntMeatProducts is highly correlated with MntWines and 6 other fields | High correlation |
MntFishProducts is highly correlated with MntFruits and 3 other fields | High correlation |
MntSweetProducts is highly correlated with MntFruits and 2 other fields | High correlation |
NumWebPurchases is highly correlated with MntWines and 2 other fields | High correlation |
NumCatalogPurchases is highly correlated with Kidhome and 4 other fields | High correlation |
NumStorePurchases is highly correlated with MntWines and 3 other fields | High correlation |
AcceptedCmp1 is highly correlated with AcceptedCmp5 | High correlation |
Kidhome is highly correlated with NumStorePurchases and 3 other fields | High correlation |
NumStorePurchases is highly correlated with Kidhome and 9 other fields | High correlation |
NumCatalogPurchases is highly correlated with Kidhome and 4 other fields | High correlation |
NumWebVisitsMonth is highly correlated with NumStorePurchases and 2 other fields | High correlation |
MntFishProducts is highly correlated with NumStorePurchases and 5 other fields | High correlation |
MntWines is highly correlated with Kidhome and 8 other fields | High correlation |
AcceptedCmp4 is highly correlated with MntWines | High correlation |
NumDealsPurchases is highly correlated with NumStorePurchases and 2 other fields | High correlation |
Teenhome is highly correlated with NumDealsPurchases | High correlation |
MntFruits is highly correlated with NumStorePurchases and 3 other fields | High correlation |
MntMeatProducts is highly correlated with NumStorePurchases and 2 other fields | High correlation |
MntSweetProducts is highly correlated with Kidhome and 4 other fields | High correlation |
MntGoldProds is highly correlated with NumStorePurchases and 4 other fields | High correlation |
AcceptedCmp5 is highly correlated with AcceptedCmp1 and 1 other fields | High correlation |
NumWebPurchases is highly correlated with NumStorePurchases and 3 other fields | High correlation |
Income has 24 (1.1%) missing values | Missing |
Income is uniformly distributed | Uniform |
ID has unique values | Unique |
Recency has 28 (1.2%) zeros | Zeros |
MntFruits has 400 (17.9%) zeros | Zeros |
MntFishProducts has 384 (17.1%) zeros | Zeros |
MntSweetProducts has 419 (18.7%) zeros | Zeros |
MntGoldProds has 61 (2.7%) zeros | Zeros |
NumDealsPurchases has 46 (2.1%) zeros | Zeros |
NumWebPurchases has 49 (2.2%) zeros | Zeros |
NumCatalogPurchases has 586 (26.2%) zeros | Zeros |
Reproduction
| Analysis started | 2021-06-01 22:38:56.579984 |
|---|---|
| Analysis finished | 2021-06-01 22:40:14.339284 |
| Duration | 1 minute and 17.76 seconds |
| Software version | pandas-profiling v3.0.0 |
| Download configuration | config.json |
| Distinct | 2240 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5592.159821 |
| Minimum | 0 |
|---|---|
| Maximum | 11191 |
| Zeros | 1 |
| Zeros (%) | < 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 17.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 576.85 |
| Q1 | 2828.25 |
| median | 5458.5 |
| Q3 | 8427.75 |
| 95-th percentile | 10675.05 |
| Maximum | 11191 |
| Range | 11191 |
| Interquartile range (IQR) | 5599.5 |
Descriptive statistics
| Standard deviation | 3246.662198 |
|---|---|
| Coefficient of variation (CV) | 0.5805739287 |
| Kurtosis | -1.190028038 |
| Mean | 5592.159821 |
| Median Absolute Deviation (MAD) | 2791 |
| Skewness | 0.0398318728 |
| Sum | 12526438 |
| Variance | 10540815.43 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 4096 | 1 | < 0.1% |
| 10914 | 1 | < 0.1% |
| 663 | 1 | < 0.1% |
| 2712 | 1 | < 0.1% |
| 10906 | 1 | < 0.1% |
| 2831 | 1 | < 0.1% |
| 4767 | 1 | < 0.1% |
| 4769 | 1 | < 0.1% |
| 675 | 1 | < 0.1% |
| 6798 | 1 | < 0.1% |
| Other values (2230) | 2230 |
| Value | Count | Frequency (%) |
| 0 | 1 | |
| 1 | 1 | |
| 9 | 1 | |
| 13 | 1 | |
| 17 | 1 | |
| 20 | 1 | |
| 22 | 1 | |
| 24 | 1 | |
| 25 | 1 | |
| 35 | 1 |
| Value | Count | Frequency (%) |
| 11191 | 1 | |
| 11188 | 1 | |
| 11187 | 1 | |
| 11181 | 1 | |
| 11178 | 1 | |
| 11176 | 1 | |
| 11171 | 1 | |
| 11166 | 1 | |
| 11148 | 1 | |
| 11133 | 1 |
Year_Birth
Real number (ℝ≥0)
| Distinct | 59 |
|---|---|
| Distinct (%) | 2.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1968.805804 |
| Minimum | 1893 |
|---|---|
| Maximum | 1996 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 17.6 KiB |
Quantile statistics
| Minimum | 1893 |
|---|---|
| 5-th percentile | 1950 |
| Q1 | 1959 |
| median | 1970 |
| Q3 | 1977 |
| 95-th percentile | 1988 |
| Maximum | 1996 |
| Range | 103 |
| Interquartile range (IQR) | 18 |
Descriptive statistics
| Standard deviation | 11.98406946 |
|---|---|
| Coefficient of variation (CV) | 0.006086973858 |
| Kurtosis | 0.7174644425 |
| Mean | 1968.805804 |
| Median Absolute Deviation (MAD) | 9 |
| Skewness | -0.3499438592 |
| Sum | 4410125 |
| Variance | 143.6179207 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1976 | 89 | 4.0% |
| 1971 | 87 | 3.9% |
| 1975 | 83 | 3.7% |
| 1972 | 79 | 3.5% |
| 1970 | 77 | 3.4% |
| 1978 | 77 | 3.4% |
| 1973 | 74 | 3.3% |
| 1965 | 74 | 3.3% |
| 1969 | 71 | 3.2% |
| 1974 | 69 | 3.1% |
| Other values (49) | 1460 |
| Value | Count | Frequency (%) |
| 1893 | 1 | < 0.1% |
| 1899 | 1 | < 0.1% |
| 1900 | 1 | < 0.1% |
| 1940 | 1 | < 0.1% |
| 1941 | 1 | < 0.1% |
| 1943 | 7 | |
| 1944 | 7 | |
| 1945 | 8 | |
| 1946 | 16 | |
| 1947 | 16 |
| Value | Count | Frequency (%) |
| 1996 | 2 | 0.1% |
| 1995 | 5 | 0.2% |
| 1994 | 3 | 0.1% |
| 1993 | 5 | 0.2% |
| 1992 | 13 | |
| 1991 | 15 | |
| 1990 | 18 | |
| 1989 | 30 | |
| 1988 | 29 | |
| 1987 | 27 |
Education
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 141.3 KiB |
| Graduation | |
|---|---|
| PhD | |
| Master | |
| 2n Cycle | |
| Basic | 54 |
Length
| Max length | 10 |
|---|---|
| Median length | 10 |
| Mean length | 7.51875 |
| Min length | 3 |
Characters and Unicode
| Total characters | 16842 |
|---|---|
| Distinct characters | 22 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Graduation |
|---|---|
| 2nd row | Graduation |
| 3rd row | Graduation |
| 4th row | Graduation |
| 5th row | Graduation |
Common Values
| Value | Count | Frequency (%) |
| Graduation | 1127 | |
| PhD | 486 | |
| Master | 370 | 16.5% |
| 2n Cycle | 203 | 9.1% |
| Basic | 54 | 2.4% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| graduation | 1127 | |
| phd | 486 | |
| master | 370 | 15.1% |
| 2n | 203 | 8.3% |
| cycle | 203 | 8.3% |
| basic | 54 | 2.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 2678 | |
| r | 1497 | |
| t | 1497 | |
| n | 1330 | 7.9% |
| i | 1181 | 7.0% |
| G | 1127 | 6.7% |
| d | 1127 | 6.7% |
| u | 1127 | 6.7% |
| o | 1127 | 6.7% |
| e | 573 | 3.4% |
| Other values (12) | 3578 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 13710 | |
| Uppercase Letter | 2726 | 16.2% |
| Decimal Number | 203 | 1.2% |
| Space Separator | 203 | 1.2% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 2678 | |
| r | 1497 | |
| t | 1497 | |
| n | 1330 | |
| i | 1181 | |
| d | 1127 | |
| u | 1127 | |
| o | 1127 | |
| e | 573 | 4.2% |
| h | 486 | 3.5% |
| Other values (4) | 1087 |
Uppercase Letter
| Value | Count | Frequency (%) |
| G | 1127 | |
| P | 486 | |
| D | 486 | |
| M | 370 | 13.6% |
| C | 203 | 7.4% |
| B | 54 | 2.0% |
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 203 |
Space Separator
| Value | Count | Frequency (%) |
| 203 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 16436 | |
| Common | 406 | 2.4% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 2678 | |
| r | 1497 | |
| t | 1497 | |
| n | 1330 | |
| i | 1181 | 7.2% |
| G | 1127 | 6.9% |
| d | 1127 | 6.9% |
| u | 1127 | 6.9% |
| o | 1127 | 6.9% |
| e | 573 | 3.5% |
| Other values (10) | 3172 |
Common
| Value | Count | Frequency (%) |
| 2 | 203 | |
| 203 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 16842 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 2678 | |
| r | 1497 | |
| t | 1497 | |
| n | 1330 | 7.9% |
| i | 1181 | 7.0% |
| G | 1127 | 6.7% |
| d | 1127 | 6.7% |
| u | 1127 | 6.7% |
| o | 1127 | 6.7% |
| e | 573 | 3.4% |
| Other values (12) | 3578 |
Marital_Status
Categorical
| Distinct | 8 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 140.3 KiB |
| Married | |
|---|---|
| Together | |
| Single | |
| Divorced | |
| Widow | 77 |
| Other values (3) | 7 |
Length
| Max length | 8 |
|---|---|
| Median length | 7 |
| Mean length | 7.073214286 |
| Min length | 4 |
Characters and Unicode
| Total characters | 15844 |
|---|---|
| Distinct characters | 26 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Divorced |
|---|---|
| 2nd row | Single |
| 3rd row | Married |
| 4th row | Together |
| 5th row | Single |
Common Values
| Value | Count | Frequency (%) |
| Married | 864 | |
| Together | 580 | |
| Single | 480 | |
| Divorced | 232 | 10.4% |
| Widow | 77 | 3.4% |
| Alone | 3 | 0.1% |
| Absurd | 2 | 0.1% |
| YOLO | 2 | 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| married | 864 | |
| together | 580 | |
| single | 480 | |
| divorced | 232 | 10.4% |
| widow | 77 | 3.4% |
| alone | 3 | 0.1% |
| yolo | 2 | 0.1% |
| absurd | 2 | 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 2739 | |
| r | 2542 | |
| i | 1653 | |
| d | 1175 | |
| g | 1060 | 6.7% |
| o | 892 | 5.6% |
| M | 864 | 5.5% |
| a | 864 | 5.5% |
| T | 580 | 3.7% |
| t | 580 | 3.7% |
| Other values (16) | 2895 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 13598 | |
| Uppercase Letter | 2246 | 14.2% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 2739 | |
| r | 2542 | |
| i | 1653 | |
| d | 1175 | |
| g | 1060 | 7.8% |
| o | 892 | 6.6% |
| a | 864 | 6.4% |
| t | 580 | 4.3% |
| h | 580 | 4.3% |
| n | 483 | 3.6% |
| Other values (7) | 1030 | 7.6% |
Uppercase Letter
| Value | Count | Frequency (%) |
| M | 864 | |
| T | 580 | |
| S | 480 | |
| D | 232 | 10.3% |
| W | 77 | 3.4% |
| A | 5 | 0.2% |
| O | 4 | 0.2% |
| Y | 2 | 0.1% |
| L | 2 | 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 15844 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 2739 | |
| r | 2542 | |
| i | 1653 | |
| d | 1175 | |
| g | 1060 | 6.7% |
| o | 892 | 5.6% |
| M | 864 | 5.5% |
| a | 864 | 5.5% |
| T | 580 | 3.7% |
| t | 580 | 3.7% |
| Other values (16) | 2895 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 15844 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 2739 | |
| r | 2542 | |
| i | 1653 | |
| d | 1175 | |
| g | 1060 | 6.7% |
| o | 892 | 5.6% |
| M | 864 | 5.5% |
| a | 864 | 5.5% |
| T | 580 | 3.7% |
| t | 580 | 3.7% |
| Other values (16) | 2895 |
| Distinct | 1974 |
|---|---|
| Distinct (%) | 89.1% |
| Missing | 24 |
| Missing (%) | 1.1% |
| Memory size | 148.0 KiB |
| $7,500.00 | 12 |
|---|---|
| $35,860.00 | 4 |
| $34,176.00 | 3 |
| $63,841.00 | 3 |
| $80,134.00 | 3 |
| Other values (1969) |
Length
| Max length | 12 |
|---|---|
| Median length | 11 |
| Mean length | 10.99277978 |
| Min length | 10 |
Characters and Unicode
| Total characters | 24360 |
|---|---|
| Distinct characters | 14 |
| Distinct categories | 4 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1756 ? |
|---|---|
| Unique (%) | 79.2% |
Sample
| 1st row | $84,835.00 |
|---|---|
| 2nd row | $57,091.00 |
| 3rd row | $67,267.00 |
| 4th row | $32,474.00 |
| 5th row | $21,474.00 |
Common Values
| Value | Count | Frequency (%) |
| $7,500.00 | 12 | 0.5% |
| $35,860.00 | 4 | 0.2% |
| $34,176.00 | 3 | 0.1% |
| $63,841.00 | 3 | 0.1% |
| $80,134.00 | 3 | 0.1% |
| $37,760.00 | 3 | 0.1% |
| $83,844.00 | 3 | 0.1% |
| $67,445.00 | 3 | 0.1% |
| $48,432.00 | 3 | 0.1% |
| $39,922.00 | 3 | 0.1% |
| Other values (1964) | 2176 | |
| (Missing) | 24 | 1.1% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 7,500.00 | 12 | 0.5% |
| 35,860.00 | 4 | 0.2% |
| 63,841.00 | 3 | 0.1% |
| 80,134.00 | 3 | 0.1% |
| 46,098.00 | 3 | 0.1% |
| 83,844.00 | 3 | 0.1% |
| 39,922.00 | 3 | 0.1% |
| 18,929.00 | 3 | 0.1% |
| 18,690.00 | 3 | 0.1% |
| 34,176.00 | 3 | 0.1% |
| Other values (1964) | 2176 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 5381 | |
| $ | 2216 | |
| , | 2216 | |
| . | 2216 | |
| 2216 | ||
| 3 | 1244 | 5.1% |
| 4 | 1235 | 5.1% |
| 6 | 1213 | 5.0% |
| 5 | 1204 | 4.9% |
| 7 | 1156 | 4.7% |
| Other values (4) | 4063 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 15496 | |
| Other Punctuation | 4432 | 18.2% |
| Currency Symbol | 2216 | 9.1% |
| Space Separator | 2216 | 9.1% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 5381 | |
| 3 | 1244 | 8.0% |
| 4 | 1235 | 8.0% |
| 6 | 1213 | 7.8% |
| 5 | 1204 | 7.8% |
| 7 | 1156 | 7.5% |
| 2 | 1142 | 7.4% |
| 8 | 1031 | 6.7% |
| 1 | 998 | 6.4% |
| 9 | 892 | 5.8% |
Other Punctuation
| Value | Count | Frequency (%) |
| , | 2216 | |
| . | 2216 |
Currency Symbol
| Value | Count | Frequency (%) |
| $ | 2216 |
Space Separator
| Value | Count | Frequency (%) |
| 2216 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 24360 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 5381 | |
| $ | 2216 | |
| , | 2216 | |
| . | 2216 | |
| 2216 | ||
| 3 | 1244 | 5.1% |
| 4 | 1235 | 5.1% |
| 6 | 1213 | 5.0% |
| 5 | 1204 | 4.9% |
| 7 | 1156 | 4.7% |
| Other values (4) | 4063 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 24360 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 5381 | |
| $ | 2216 | |
| , | 2216 | |
| . | 2216 | |
| 2216 | ||
| 3 | 1244 | 5.1% |
| 4 | 1235 | 5.1% |
| 6 | 1213 | 5.0% |
| 5 | 1204 | 4.9% |
| 7 | 1156 | 4.7% |
| Other values (4) | 4063 |
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 127.0 KiB |
| 0 | |
|---|---|
| 1 | |
| 2 | 48 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 2240 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1293 | |
| 1 | 899 | |
| 2 | 48 | 2.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 1293 | |
| 1 | 899 | |
| 2 | 48 | 2.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1293 | |
| 1 | 899 | |
| 2 | 48 | 2.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 2240 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1293 | |
| 1 | 899 | |
| 2 | 48 | 2.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 2240 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1293 | |
| 1 | 899 | |
| 2 | 48 | 2.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2240 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1293 | |
| 1 | 899 | |
| 2 | 48 | 2.1% |
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 127.0 KiB |
| 0 | |
|---|---|
| 1 | |
| 2 | 52 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 2240 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1158 | |
| 1 | 1030 | |
| 2 | 52 | 2.3% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 1158 | |
| 1 | 1030 | |
| 2 | 52 | 2.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1158 | |
| 1 | 1030 | |
| 2 | 52 | 2.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 2240 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1158 | |
| 1 | 1030 | |
| 2 | 52 | 2.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 2240 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1158 | |
| 1 | 1030 | |
| 2 | 52 | 2.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2240 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1158 | |
| 1 | 1030 | |
| 2 | 52 | 2.3% |
| Distinct | 663 |
|---|---|
| Distinct (%) | 29.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 140.0 KiB |
| 8/31/12 | 12 |
|---|---|
| 9/12/12 | 11 |
| 5/12/14 | 11 |
| 2/14/13 | 11 |
| 8/20/13 | 10 |
| Other values (658) |
Length
| Max length | 8 |
|---|---|
| Median length | 7 |
| Mean length | 6.965625 |
| Min length | 6 |
Characters and Unicode
| Total characters | 15603 |
|---|---|
| Distinct characters | 11 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 107 ? |
|---|---|
| Unique (%) | 4.8% |
Sample
| 1st row | 6/16/14 |
|---|---|
| 2nd row | 6/15/14 |
| 3rd row | 5/13/14 |
| 4th row | 5/11/14 |
| 5th row | 4/8/14 |
Common Values
| Value | Count | Frequency (%) |
| 8/31/12 | 12 | 0.5% |
| 9/12/12 | 11 | 0.5% |
| 5/12/14 | 11 | 0.5% |
| 2/14/13 | 11 | 0.5% |
| 8/20/13 | 10 | 0.4% |
| 5/22/14 | 10 | 0.4% |
| 3/23/14 | 9 | 0.4% |
| 4/5/14 | 9 | 0.4% |
| 10/29/12 | 9 | 0.4% |
| 3/1/14 | 9 | 0.4% |
| Other values (653) | 2139 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 8/31/12 | 12 | 0.5% |
| 9/12/12 | 11 | 0.5% |
| 5/12/14 | 11 | 0.5% |
| 2/14/13 | 11 | 0.5% |
| 8/20/13 | 10 | 0.4% |
| 5/22/14 | 10 | 0.4% |
| 3/23/14 | 9 | 0.4% |
| 4/5/14 | 9 | 0.4% |
| 10/29/12 | 9 | 0.4% |
| 3/1/14 | 9 | 0.4% |
| Other values (653) | 2139 |
Most occurring characters
| Value | Count | Frequency (%) |
| / | 4480 | |
| 1 | 4228 | |
| 2 | 1836 | |
| 3 | 1742 | 11.2% |
| 4 | 928 | 5.9% |
| 8 | 445 | 2.9% |
| 5 | 424 | 2.7% |
| 0 | 423 | 2.7% |
| 9 | 403 | 2.6% |
| 6 | 363 | 2.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 11123 | |
| Other Punctuation | 4480 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 4228 | |
| 2 | 1836 | |
| 3 | 1742 | |
| 4 | 928 | 8.3% |
| 8 | 445 | 4.0% |
| 5 | 424 | 3.8% |
| 0 | 423 | 3.8% |
| 9 | 403 | 3.6% |
| 6 | 363 | 3.3% |
| 7 | 331 | 3.0% |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 4480 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 15603 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| / | 4480 | |
| 1 | 4228 | |
| 2 | 1836 | |
| 3 | 1742 | 11.2% |
| 4 | 928 | 5.9% |
| 8 | 445 | 2.9% |
| 5 | 424 | 2.7% |
| 0 | 423 | 2.7% |
| 9 | 403 | 2.6% |
| 6 | 363 | 2.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 15603 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| / | 4480 | |
| 1 | 4228 | |
| 2 | 1836 | |
| 3 | 1742 | 11.2% |
| 4 | 928 | 5.9% |
| 8 | 445 | 2.9% |
| 5 | 424 | 2.7% |
| 0 | 423 | 2.7% |
| 9 | 403 | 2.6% |
| 6 | 363 | 2.3% |
| Distinct | 100 |
|---|---|
| Distinct (%) | 4.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 49.109375 |
| Minimum | 0 |
|---|---|
| Maximum | 99 |
| Zeros | 28 |
| Zeros (%) | 1.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 17.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 4 |
| Q1 | 24 |
| median | 49 |
| Q3 | 74 |
| 95-th percentile | 94 |
| Maximum | 99 |
| Range | 99 |
| Interquartile range (IQR) | 50 |
Descriptive statistics
| Standard deviation | 28.96245281 |
|---|---|
| Coefficient of variation (CV) | 0.5897540502 |
| Kurtosis | -1.201896799 |
| Mean | 49.109375 |
| Median Absolute Deviation (MAD) | 25 |
| Skewness | -0.001986658634 |
| Sum | 110005 |
| Variance | 838.8236727 |
| Monotonicity | Increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 56 | 37 | 1.7% |
| 30 | 32 | 1.4% |
| 54 | 32 | 1.4% |
| 46 | 31 | 1.4% |
| 49 | 30 | 1.3% |
| 65 | 30 | 1.3% |
| 92 | 30 | 1.3% |
| 3 | 29 | 1.3% |
| 71 | 29 | 1.3% |
| 29 | 29 | 1.3% |
| Other values (90) | 1931 |
| Value | Count | Frequency (%) |
| 0 | 28 | |
| 1 | 24 | |
| 2 | 28 | |
| 3 | 29 | |
| 4 | 27 | |
| 5 | 15 | |
| 6 | 21 | |
| 7 | 12 | |
| 8 | 25 | |
| 9 | 24 |
| Value | Count | Frequency (%) |
| 99 | 17 | |
| 98 | 22 | |
| 97 | 20 | |
| 96 | 25 | |
| 95 | 19 | |
| 94 | 26 | |
| 93 | 21 | |
| 92 | 30 | |
| 91 | 18 | |
| 90 | 20 |
| Distinct | 776 |
|---|---|
| Distinct (%) | 34.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 303.9357143 |
| Minimum | 0 |
|---|---|
| Maximum | 1493 |
| Zeros | 13 |
| Zeros (%) | 0.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 17.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 3 |
| Q1 | 23.75 |
| median | 173.5 |
| Q3 | 504.25 |
| 95-th percentile | 1000 |
| Maximum | 1493 |
| Range | 1493 |
| Interquartile range (IQR) | 480.5 |
Descriptive statistics
| Standard deviation | 336.5973926 |
|---|---|
| Coefficient of variation (CV) | 1.107462456 |
| Kurtosis | 0.5987435935 |
| Mean | 303.9357143 |
| Median Absolute Deviation (MAD) | 164.5 |
| Skewness | 1.175770564 |
| Sum | 680816 |
| Variance | 113297.8047 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2 | 42 | 1.9% |
| 5 | 40 | 1.8% |
| 6 | 37 | 1.7% |
| 1 | 37 | 1.7% |
| 4 | 33 | 1.5% |
| 8 | 30 | 1.3% |
| 3 | 30 | 1.3% |
| 9 | 28 | 1.2% |
| 12 | 25 | 1.1% |
| 10 | 24 | 1.1% |
| Other values (766) | 1914 |
| Value | Count | Frequency (%) |
| 0 | 13 | 0.6% |
| 1 | 37 | |
| 2 | 42 | |
| 3 | 30 | |
| 4 | 33 | |
| 5 | 40 | |
| 6 | 37 | |
| 7 | 22 | |
| 8 | 30 | |
| 9 | 28 |
| Value | Count | Frequency (%) |
| 1493 | 1 | |
| 1492 | 2 | |
| 1486 | 1 | |
| 1478 | 2 | |
| 1462 | 1 | |
| 1459 | 1 | |
| 1449 | 1 | |
| 1396 | 1 | |
| 1394 | 1 | |
| 1379 | 1 |
| Distinct | 158 |
|---|---|
| Distinct (%) | 7.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 26.30223214 |
| Minimum | 0 |
|---|---|
| Maximum | 199 |
| Zeros | 400 |
| Zeros (%) | 17.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 17.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 8 |
| Q3 | 33 |
| 95-th percentile | 123 |
| Maximum | 199 |
| Range | 199 |
| Interquartile range (IQR) | 32 |
Descriptive statistics
| Standard deviation | 39.77343376 |
|---|---|
| Coefficient of variation (CV) | 1.51216952 |
| Kurtosis | 4.050976251 |
| Mean | 26.30223214 |
| Median Absolute Deviation (MAD) | 8 |
| Skewness | 2.102063305 |
| Sum | 58917 |
| Variance | 1581.926033 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 400 | 17.9% |
| 1 | 162 | 7.2% |
| 2 | 120 | 5.4% |
| 3 | 116 | 5.2% |
| 4 | 104 | 4.6% |
| 7 | 67 | 3.0% |
| 5 | 65 | 2.9% |
| 6 | 62 | 2.8% |
| 12 | 50 | 2.2% |
| 8 | 48 | 2.1% |
| Other values (148) | 1046 |
| Value | Count | Frequency (%) |
| 0 | 400 | |
| 1 | 162 | |
| 2 | 120 | 5.4% |
| 3 | 116 | 5.2% |
| 4 | 104 | 4.6% |
| 5 | 65 | 2.9% |
| 6 | 62 | 2.8% |
| 7 | 67 | 3.0% |
| 8 | 48 | 2.1% |
| 9 | 35 | 1.6% |
| Value | Count | Frequency (%) |
| 199 | 2 | |
| 197 | 1 | < 0.1% |
| 194 | 3 | |
| 193 | 2 | |
| 190 | 1 | < 0.1% |
| 189 | 1 | < 0.1% |
| 185 | 2 | |
| 184 | 1 | < 0.1% |
| 183 | 3 | |
| 181 | 1 | < 0.1% |
| Distinct | 558 |
|---|---|
| Distinct (%) | 24.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 166.95 |
| Minimum | 0 |
|---|---|
| Maximum | 1725 |
| Zeros | 1 |
| Zeros (%) | < 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 17.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 4 |
| Q1 | 16 |
| median | 67 |
| Q3 | 232 |
| 95-th percentile | 687.1 |
| Maximum | 1725 |
| Range | 1725 |
| Interquartile range (IQR) | 216 |
Descriptive statistics
| Standard deviation | 225.7153725 |
|---|---|
| Coefficient of variation (CV) | 1.351993846 |
| Kurtosis | 5.516724101 |
| Mean | 166.95 |
| Median Absolute Deviation (MAD) | 59 |
| Skewness | 2.083233113 |
| Sum | 373968 |
| Variance | 50947.42939 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 7 | 53 | 2.4% |
| 5 | 50 | 2.2% |
| 11 | 49 | 2.2% |
| 8 | 46 | 2.1% |
| 6 | 43 | 1.9% |
| 3 | 40 | 1.8% |
| 10 | 40 | 1.8% |
| 9 | 38 | 1.7% |
| 16 | 36 | 1.6% |
| 12 | 35 | 1.6% |
| Other values (548) | 1810 |
| Value | Count | Frequency (%) |
| 0 | 1 | < 0.1% |
| 1 | 14 | 0.6% |
| 2 | 30 | |
| 3 | 40 | |
| 4 | 30 | |
| 5 | 50 | |
| 6 | 43 | |
| 7 | 53 | |
| 8 | 46 | |
| 9 | 38 |
| Value | Count | Frequency (%) |
| 1725 | 2 | |
| 1622 | 1 | |
| 1607 | 1 | |
| 1582 | 1 | |
| 984 | 1 | |
| 981 | 1 | |
| 974 | 1 | |
| 968 | 1 | |
| 961 | 1 | |
| 951 | 2 |
MntFishProducts
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONZEROS| Distinct | 182 |
|---|---|
| Distinct (%) | 8.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 37.52544643 |
| Minimum | 0 |
|---|---|
| Maximum | 259 |
| Zeros | 384 |
| Zeros (%) | 17.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 17.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 3 |
| median | 12 |
| Q3 | 50 |
| 95-th percentile | 168.05 |
| Maximum | 259 |
| Range | 259 |
| Interquartile range (IQR) | 47 |
Descriptive statistics
| Standard deviation | 54.6289794 |
|---|---|
| Coefficient of variation (CV) | 1.45578493 |
| Kurtosis | 3.096460912 |
| Mean | 37.52544643 |
| Median Absolute Deviation (MAD) | 12 |
| Skewness | 1.919768971 |
| Sum | 84057 |
| Variance | 2984.325391 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 384 | 17.1% |
| 2 | 156 | 7.0% |
| 3 | 130 | 5.8% |
| 4 | 108 | 4.8% |
| 6 | 82 | 3.7% |
| 7 | 66 | 2.9% |
| 8 | 58 | 2.6% |
| 10 | 55 | 2.5% |
| 13 | 48 | 2.1% |
| 12 | 47 | 2.1% |
| Other values (172) | 1106 |
| Value | Count | Frequency (%) |
| 0 | 384 | |
| 1 | 10 | 0.4% |
| 2 | 156 | |
| 3 | 130 | 5.8% |
| 4 | 108 | 4.8% |
| 5 | 1 | < 0.1% |
| 6 | 82 | 3.7% |
| 7 | 66 | 2.9% |
| 8 | 58 | 2.6% |
| 10 | 55 | 2.5% |
| Value | Count | Frequency (%) |
| 259 | 1 | < 0.1% |
| 258 | 3 | |
| 254 | 1 | < 0.1% |
| 253 | 1 | < 0.1% |
| 250 | 3 | |
| 247 | 1 | < 0.1% |
| 246 | 1 | < 0.1% |
| 242 | 1 | < 0.1% |
| 240 | 2 | |
| 237 | 2 |
MntSweetProducts
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONZEROS| Distinct | 177 |
|---|---|
| Distinct (%) | 7.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 27.06294643 |
| Minimum | 0 |
|---|---|
| Maximum | 263 |
| Zeros | 419 |
| Zeros (%) | 18.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 17.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 8 |
| Q3 | 33 |
| 95-th percentile | 126 |
| Maximum | 263 |
| Range | 263 |
| Interquartile range (IQR) | 32 |
Descriptive statistics
| Standard deviation | 41.28049849 |
|---|---|
| Coefficient of variation (CV) | 1.525351225 |
| Kurtosis | 4.376548261 |
| Mean | 27.06294643 |
| Median Absolute Deviation (MAD) | 8 |
| Skewness | 2.136080712 |
| Sum | 60621 |
| Variance | 1704.079555 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 419 | 18.7% |
| 1 | 161 | 7.2% |
| 2 | 128 | 5.7% |
| 3 | 101 | 4.5% |
| 4 | 82 | 3.7% |
| 5 | 65 | 2.9% |
| 6 | 64 | 2.9% |
| 7 | 57 | 2.5% |
| 8 | 56 | 2.5% |
| 12 | 45 | 2.0% |
| Other values (167) | 1062 |
| Value | Count | Frequency (%) |
| 0 | 419 | |
| 1 | 161 | 7.2% |
| 2 | 128 | 5.7% |
| 3 | 101 | 4.5% |
| 4 | 82 | 3.7% |
| 5 | 65 | 2.9% |
| 6 | 64 | 2.9% |
| 7 | 57 | 2.5% |
| 8 | 56 | 2.5% |
| 9 | 42 | 1.9% |
| Value | Count | Frequency (%) |
| 263 | 1 | < 0.1% |
| 262 | 1 | < 0.1% |
| 198 | 1 | < 0.1% |
| 197 | 1 | < 0.1% |
| 196 | 1 | < 0.1% |
| 195 | 1 | < 0.1% |
| 194 | 3 | |
| 192 | 3 | |
| 191 | 1 | < 0.1% |
| 189 | 2 |
| Distinct | 213 |
|---|---|
| Distinct (%) | 9.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 44.021875 |
| Minimum | 0 |
|---|---|
| Maximum | 362 |
| Zeros | 61 |
| Zeros (%) | 2.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 17.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 9 |
| median | 24 |
| Q3 | 56 |
| 95-th percentile | 165.05 |
| Maximum | 362 |
| Range | 362 |
| Interquartile range (IQR) | 47 |
Descriptive statistics
| Standard deviation | 52.16743891 |
|---|---|
| Coefficient of variation (CV) | 1.185034461 |
| Kurtosis | 3.55170925 |
| Mean | 44.021875 |
| Median Absolute Deviation (MAD) | 18 |
| Skewness | 1.886105609 |
| Sum | 98609 |
| Variance | 2721.441683 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 73 | 3.3% |
| 4 | 70 | 3.1% |
| 3 | 69 | 3.1% |
| 5 | 63 | 2.8% |
| 12 | 63 | 2.8% |
| 2 | 62 | 2.8% |
| 0 | 61 | 2.7% |
| 6 | 57 | 2.5% |
| 7 | 54 | 2.4% |
| 10 | 49 | 2.2% |
| Other values (203) | 1619 |
| Value | Count | Frequency (%) |
| 0 | 61 | |
| 1 | 73 | |
| 2 | 62 | |
| 3 | 69 | |
| 4 | 70 | |
| 5 | 63 | |
| 6 | 57 | |
| 7 | 54 | |
| 8 | 40 | |
| 9 | 44 |
| Value | Count | Frequency (%) |
| 362 | 1 | |
| 321 | 1 | |
| 291 | 1 | |
| 262 | 1 | |
| 249 | 1 | |
| 248 | 1 | |
| 247 | 1 | |
| 246 | 1 | |
| 245 | 1 | |
| 242 | 2 |
| Distinct | 15 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.325 |
| Minimum | 0 |
|---|---|
| Maximum | 15 |
| Zeros | 46 |
| Zeros (%) | 2.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 17.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 2 |
| Q3 | 3 |
| 95-th percentile | 6 |
| Maximum | 15 |
| Range | 15 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.932237501 |
|---|---|
| Coefficient of variation (CV) | 0.8310698928 |
| Kurtosis | 8.936914321 |
| Mean | 2.325 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 2.418569388 |
| Sum | 5208 |
| Variance | 3.73354176 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=15)
| Value | Count | Frequency (%) |
| 1 | 970 | |
| 2 | 497 | |
| 3 | 297 | 13.3% |
| 4 | 189 | 8.4% |
| 5 | 94 | 4.2% |
| 6 | 61 | 2.7% |
| 0 | 46 | 2.1% |
| 7 | 40 | 1.8% |
| 8 | 14 | 0.6% |
| 9 | 8 | 0.4% |
| Other values (5) | 24 | 1.1% |
| Value | Count | Frequency (%) |
| 0 | 46 | 2.1% |
| 1 | 970 | |
| 2 | 497 | |
| 3 | 297 | 13.3% |
| 4 | 189 | 8.4% |
| 5 | 94 | 4.2% |
| 6 | 61 | 2.7% |
| 7 | 40 | 1.8% |
| 8 | 14 | 0.6% |
| 9 | 8 | 0.4% |
| Value | Count | Frequency (%) |
| 15 | 7 | 0.3% |
| 13 | 3 | 0.1% |
| 12 | 4 | 0.2% |
| 11 | 5 | 0.2% |
| 10 | 5 | 0.2% |
| 9 | 8 | 0.4% |
| 8 | 14 | 0.6% |
| 7 | 40 | |
| 6 | 61 | |
| 5 | 94 |
NumWebPurchases
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONZEROS| Distinct | 15 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.084821429 |
| Minimum | 0 |
|---|---|
| Maximum | 27 |
| Zeros | 49 |
| Zeros (%) | 2.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 17.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 4 |
| Q3 | 6 |
| 95-th percentile | 9 |
| Maximum | 27 |
| Range | 27 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 2.778714147 |
|---|---|
| Coefficient of variation (CV) | 0.680253518 |
| Kurtosis | 5.703128364 |
| Mean | 4.084821429 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 1.382794296 |
| Sum | 9150 |
| Variance | 7.721252313 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=15)
| Value | Count | Frequency (%) |
| 2 | 373 | |
| 1 | 354 | |
| 3 | 336 | |
| 4 | 280 | |
| 5 | 220 | |
| 6 | 205 | |
| 7 | 155 | |
| 8 | 102 | 4.6% |
| 9 | 75 | 3.3% |
| 0 | 49 | 2.2% |
| Other values (5) | 91 | 4.1% |
| Value | Count | Frequency (%) |
| 0 | 49 | 2.2% |
| 1 | 354 | |
| 2 | 373 | |
| 3 | 336 | |
| 4 | 280 | |
| 5 | 220 | |
| 6 | 205 | |
| 7 | 155 | |
| 8 | 102 | 4.6% |
| 9 | 75 | 3.3% |
| Value | Count | Frequency (%) |
| 27 | 2 | 0.1% |
| 25 | 1 | < 0.1% |
| 23 | 1 | < 0.1% |
| 11 | 44 | 2.0% |
| 10 | 43 | 1.9% |
| 9 | 75 | 3.3% |
| 8 | 102 | |
| 7 | 155 | |
| 6 | 205 | |
| 5 | 220 |
NumCatalogPurchases
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONZEROS| Distinct | 14 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.662053571 |
| Minimum | 0 |
|---|---|
| Maximum | 28 |
| Zeros | 586 |
| Zeros (%) | 26.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 17.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 2 |
| Q3 | 4 |
| 95-th percentile | 9 |
| Maximum | 28 |
| Range | 28 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 2.923100656 |
|---|---|
| Coefficient of variation (CV) | 1.098062296 |
| Kurtosis | 8.047436789 |
| Mean | 2.662053571 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 1.880988778 |
| Sum | 5963 |
| Variance | 8.544517442 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=14)
| Value | Count | Frequency (%) |
| 0 | 586 | |
| 1 | 497 | |
| 2 | 276 | |
| 3 | 184 | 8.2% |
| 4 | 182 | 8.1% |
| 5 | 140 | 6.2% |
| 6 | 128 | 5.7% |
| 7 | 79 | 3.5% |
| 8 | 55 | 2.5% |
| 10 | 48 | 2.1% |
| Other values (4) | 65 | 2.9% |
| Value | Count | Frequency (%) |
| 0 | 586 | |
| 1 | 497 | |
| 2 | 276 | |
| 3 | 184 | 8.2% |
| 4 | 182 | 8.1% |
| 5 | 140 | 6.2% |
| 6 | 128 | 5.7% |
| 7 | 79 | 3.5% |
| 8 | 55 | 2.5% |
| 9 | 42 | 1.9% |
| Value | Count | Frequency (%) |
| 28 | 3 | 0.1% |
| 22 | 1 | < 0.1% |
| 11 | 19 | 0.8% |
| 10 | 48 | 2.1% |
| 9 | 42 | 1.9% |
| 8 | 55 | 2.5% |
| 7 | 79 | |
| 6 | 128 | |
| 5 | 140 | |
| 4 | 182 |
| Distinct | 14 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.790178571 |
| Minimum | 0 |
|---|---|
| Maximum | 13 |
| Zeros | 15 |
| Zeros (%) | 0.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 17.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 3 |
| median | 5 |
| Q3 | 8 |
| 95-th percentile | 12 |
| Maximum | 13 |
| Range | 13 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 3.250958146 |
|---|---|
| Coefficient of variation (CV) | 0.5614607746 |
| Kurtosis | -0.6220482771 |
| Mean | 5.790178571 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.7022372855 |
| Sum | 12970 |
| Variance | 10.56872886 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=14)
| Value | Count | Frequency (%) |
| 3 | 490 | |
| 4 | 323 | |
| 2 | 223 | |
| 5 | 212 | |
| 6 | 178 | 7.9% |
| 8 | 149 | 6.7% |
| 7 | 143 | 6.4% |
| 10 | 125 | 5.6% |
| 9 | 106 | 4.7% |
| 12 | 105 | 4.7% |
| Other values (4) | 186 | 8.3% |
| Value | Count | Frequency (%) |
| 0 | 15 | 0.7% |
| 1 | 7 | 0.3% |
| 2 | 223 | |
| 3 | 490 | |
| 4 | 323 | |
| 5 | 212 | |
| 6 | 178 | 7.9% |
| 7 | 143 | 6.4% |
| 8 | 149 | 6.7% |
| 9 | 106 | 4.7% |
| Value | Count | Frequency (%) |
| 13 | 83 | 3.7% |
| 12 | 105 | 4.7% |
| 11 | 81 | 3.6% |
| 10 | 125 | 5.6% |
| 9 | 106 | 4.7% |
| 8 | 149 | |
| 7 | 143 | |
| 6 | 178 | |
| 5 | 212 | |
| 4 | 323 |
| Distinct | 16 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.316517857 |
| Minimum | 0 |
|---|---|
| Maximum | 20 |
| Zeros | 11 |
| Zeros (%) | 0.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 17.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 3 |
| median | 6 |
| Q3 | 7 |
| 95-th percentile | 8 |
| Maximum | 20 |
| Range | 20 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 2.42664501 |
|---|---|
| Coefficient of variation (CV) | 0.4564350341 |
| Kurtosis | 1.821613827 |
| Mean | 5.316517857 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.2079255568 |
| Sum | 11909 |
| Variance | 5.888606002 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=16)
| Value | Count | Frequency (%) |
| 7 | 393 | |
| 8 | 342 | |
| 6 | 340 | |
| 5 | 281 | |
| 4 | 218 | |
| 3 | 205 | |
| 2 | 202 | |
| 1 | 153 | 6.8% |
| 9 | 83 | 3.7% |
| 0 | 11 | 0.5% |
| Other values (6) | 12 | 0.5% |
| Value | Count | Frequency (%) |
| 0 | 11 | 0.5% |
| 1 | 153 | 6.8% |
| 2 | 202 | |
| 3 | 205 | |
| 4 | 218 | |
| 5 | 281 | |
| 6 | 340 | |
| 7 | 393 | |
| 8 | 342 | |
| 9 | 83 | 3.7% |
| Value | Count | Frequency (%) |
| 20 | 3 | 0.1% |
| 19 | 2 | 0.1% |
| 17 | 1 | < 0.1% |
| 14 | 2 | 0.1% |
| 13 | 1 | < 0.1% |
| 10 | 3 | 0.1% |
| 9 | 83 | 3.7% |
| 8 | 342 | |
| 7 | 393 | |
| 6 | 340 |
AcceptedCmp3
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 127.0 KiB |
| 0 | |
|---|---|
| 1 | 163 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 2240 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 2077 | |
| 1 | 163 | 7.3% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 2077 | |
| 1 | 163 | 7.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 2077 | |
| 1 | 163 | 7.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 2240 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 2077 | |
| 1 | 163 | 7.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 2240 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 2077 | |
| 1 | 163 | 7.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2240 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 2077 | |
| 1 | 163 | 7.3% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 127.0 KiB |
| 0 | |
|---|---|
| 1 | 167 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 2240 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 2073 | |
| 1 | 167 | 7.5% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 2073 | |
| 1 | 167 | 7.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 2073 | |
| 1 | 167 | 7.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 2240 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 2073 | |
| 1 | 167 | 7.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 2240 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 2073 | |
| 1 | 167 | 7.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2240 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 2073 | |
| 1 | 167 | 7.5% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 127.0 KiB |
| 0 | |
|---|---|
| 1 | 163 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 2240 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 2077 | |
| 1 | 163 | 7.3% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 2077 | |
| 1 | 163 | 7.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 2077 | |
| 1 | 163 | 7.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 2240 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 2077 | |
| 1 | 163 | 7.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 2240 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 2077 | |
| 1 | 163 | 7.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2240 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 2077 | |
| 1 | 163 | 7.3% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 127.0 KiB |
| 0 | |
|---|---|
| 1 | 144 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 2240 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 2096 | |
| 1 | 144 | 6.4% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 2096 | |
| 1 | 144 | 6.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 2096 | |
| 1 | 144 | 6.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 2240 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 2096 | |
| 1 | 144 | 6.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 2240 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 2096 | |
| 1 | 144 | 6.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2240 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 2096 | |
| 1 | 144 | 6.4% |
AcceptedCmp2
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 127.0 KiB |
| 0 | |
|---|---|
| 1 | 30 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 2240 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 2210 | |
| 1 | 30 | 1.3% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 2210 | |
| 1 | 30 | 1.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 2210 | |
| 1 | 30 | 1.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 2240 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 2210 | |
| 1 | 30 | 1.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 2240 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 2210 | |
| 1 | 30 | 1.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2240 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 2210 | |
| 1 | 30 | 1.3% |
Response
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 127.0 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 2240 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 1906 | |
| 1 | 334 | 14.9% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 1906 | |
| 1 | 334 | 14.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1906 | |
| 1 | 334 | 14.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 2240 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1906 | |
| 1 | 334 | 14.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 2240 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1906 | |
| 1 | 334 | 14.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2240 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1906 | |
| 1 | 334 | 14.9% |
Complain
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 127.0 KiB |
| 0 | |
|---|---|
| 1 | 21 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 2240 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 2219 | |
| 1 | 21 | 0.9% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 2219 | |
| 1 | 21 | 0.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 2219 | |
| 1 | 21 | 0.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 2240 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 2219 | |
| 1 | 21 | 0.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 2240 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 2219 | |
| 1 | 21 | 0.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2240 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 2219 | |
| 1 | 21 | 0.9% |
Country
Categorical
| Distinct | 8 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 129.6 KiB |
| SP | |
|---|---|
| SA | |
| CA | |
| AUS | |
| IND | |
| Other values (3) |
Length
| Max length | 3 |
|---|---|
| Median length | 2 |
| Mean length | 2.191071429 |
| Min length | 2 |
Characters and Unicode
| Total characters | 4908 |
|---|---|
| Distinct characters | 12 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | SP |
|---|---|
| 2nd row | CA |
| 3rd row | US |
| 4th row | AUS |
| 5th row | SP |
Common Values
| Value | Count | Frequency (%) |
| SP | 1095 | |
| SA | 337 | 15.0% |
| CA | 268 | 12.0% |
| AUS | 160 | 7.1% |
| IND | 148 | 6.6% |
| GER | 120 | 5.4% |
| US | 109 | 4.9% |
| ME | 3 | 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| sp | 1095 | |
| sa | 337 | 15.0% |
| ca | 268 | 12.0% |
| aus | 160 | 7.1% |
| ind | 148 | 6.6% |
| ger | 120 | 5.4% |
| us | 109 | 4.9% |
| me | 3 | 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| S | 1701 | |
| P | 1095 | |
| A | 765 | |
| U | 269 | 5.5% |
| C | 268 | 5.5% |
| I | 148 | 3.0% |
| N | 148 | 3.0% |
| D | 148 | 3.0% |
| E | 123 | 2.5% |
| G | 120 | 2.4% |
| Other values (2) | 123 | 2.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 4908 |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 1701 | |
| P | 1095 | |
| A | 765 | |
| U | 269 | 5.5% |
| C | 268 | 5.5% |
| I | 148 | 3.0% |
| N | 148 | 3.0% |
| D | 148 | 3.0% |
| E | 123 | 2.5% |
| G | 120 | 2.4% |
| Other values (2) | 123 | 2.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 4908 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| S | 1701 | |
| P | 1095 | |
| A | 765 | |
| U | 269 | 5.5% |
| C | 268 | 5.5% |
| I | 148 | 3.0% |
| N | 148 | 3.0% |
| D | 148 | 3.0% |
| E | 123 | 2.5% |
| G | 120 | 2.4% |
| Other values (2) | 123 | 2.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 4908 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| S | 1701 | |
| P | 1095 | |
| A | 765 | |
| U | 269 | 5.5% |
| C | 268 | 5.5% |
| I | 148 | 3.0% |
| N | 148 | 3.0% |
| D | 148 | 3.0% |
| E | 123 | 2.5% |
| G | 120 | 2.4% |
| Other values (2) | 123 | 2.5% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| ID | Year_Birth | Education | Marital_Status | Income | Kidhome | Teenhome | Dt_Customer | Recency | MntWines | MntFruits | MntMeatProducts | MntFishProducts | MntSweetProducts | MntGoldProds | NumDealsPurchases | NumWebPurchases | NumCatalogPurchases | NumStorePurchases | NumWebVisitsMonth | AcceptedCmp3 | AcceptedCmp4 | AcceptedCmp5 | AcceptedCmp1 | AcceptedCmp2 | Response | Complain | Country | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1826 | 1970 | Graduation | Divorced | $84,835.00 | 0 | 0 | 6/16/14 | 0 | 189 | 104 | 379 | 111 | 189 | 218 | 1 | 4 | 4 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | SP |
| 1 | 1 | 1961 | Graduation | Single | $57,091.00 | 0 | 0 | 6/15/14 | 0 | 464 | 5 | 64 | 7 | 0 | 37 | 1 | 7 | 3 | 7 | 5 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | CA |
| 2 | 10476 | 1958 | Graduation | Married | $67,267.00 | 0 | 1 | 5/13/14 | 0 | 134 | 11 | 59 | 15 | 2 | 30 | 1 | 3 | 2 | 5 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | US |
| 3 | 1386 | 1967 | Graduation | Together | $32,474.00 | 1 | 1 | 5/11/14 | 0 | 10 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | AUS |
| 4 | 5371 | 1989 | Graduation | Single | $21,474.00 | 1 | 0 | 4/8/14 | 0 | 6 | 16 | 24 | 11 | 0 | 34 | 2 | 3 | 1 | 2 | 7 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | SP |
| 5 | 7348 | 1958 | PhD | Single | $71,691.00 | 0 | 0 | 3/17/14 | 0 | 336 | 130 | 411 | 240 | 32 | 43 | 1 | 4 | 7 | 5 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | SP |
| 6 | 4073 | 1954 | 2n Cycle | Married | $63,564.00 | 0 | 0 | 1/29/14 | 0 | 769 | 80 | 252 | 15 | 34 | 65 | 1 | 10 | 10 | 7 | 6 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | GER |
| 7 | 1991 | 1967 | Graduation | Together | $44,931.00 | 0 | 1 | 1/18/14 | 0 | 78 | 0 | 11 | 0 | 0 | 7 | 1 | 2 | 1 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | SP |
| 8 | 4047 | 1954 | PhD | Married | $65,324.00 | 0 | 1 | 1/11/14 | 0 | 384 | 0 | 102 | 21 | 32 | 5 | 3 | 6 | 2 | 9 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | US |
| 9 | 9477 | 1954 | PhD | Married | $65,324.00 | 0 | 1 | 1/11/14 | 0 | 384 | 0 | 102 | 21 | 32 | 5 | 3 | 6 | 2 | 9 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | IND |
Last rows
| ID | Year_Birth | Education | Marital_Status | Income | Kidhome | Teenhome | Dt_Customer | Recency | MntWines | MntFruits | MntMeatProducts | MntFishProducts | MntSweetProducts | MntGoldProds | NumDealsPurchases | NumWebPurchases | NumCatalogPurchases | NumStorePurchases | NumWebVisitsMonth | AcceptedCmp3 | AcceptedCmp4 | AcceptedCmp5 | AcceptedCmp1 | AcceptedCmp2 | Response | Complain | Country | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2230 | 3363 | 1974 | 2n Cycle | Married | $20,130.00 | 0 | 0 | 3/17/14 | 99 | 0 | 6 | 3 | 7 | 6 | 12 | 1 | 1 | 0 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | SP |
| 2231 | 8595 | 1973 | Graduation | Widow | $42,429.00 | 0 | 1 | 2/11/14 | 99 | 55 | 0 | 6 | 2 | 0 | 4 | 2 | 1 | 1 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | AUS |
| 2232 | 7232 | 1973 | Graduation | Widow | $42,429.00 | 0 | 1 | 2/11/14 | 99 | 55 | 0 | 6 | 2 | 0 | 4 | 2 | 1 | 1 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | SP |
| 2233 | 7829 | 1900 | 2n Cycle | Divorced | $36,640.00 | 1 | 0 | 9/26/13 | 99 | 15 | 6 | 8 | 7 | 4 | 25 | 1 | 2 | 1 | 2 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | IND |
| 2234 | 9977 | 1973 | Graduation | Divorced | $78,901.00 | 0 | 1 | 9/17/13 | 99 | 321 | 11 | 309 | 33 | 26 | 34 | 3 | 9 | 3 | 5 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | US |
| 2235 | 10142 | 1976 | PhD | Divorced | $66,476.00 | 0 | 1 | 3/7/13 | 99 | 372 | 18 | 126 | 47 | 48 | 78 | 2 | 5 | 2 | 11 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | US |
| 2236 | 5263 | 1977 | 2n Cycle | Married | $31,056.00 | 1 | 0 | 1/22/13 | 99 | 5 | 10 | 13 | 3 | 8 | 16 | 1 | 1 | 0 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | SP |
| 2237 | 22 | 1976 | Graduation | Divorced | $46,310.00 | 1 | 0 | 12/3/12 | 99 | 185 | 2 | 88 | 15 | 5 | 14 | 2 | 6 | 1 | 5 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | SP |
| 2238 | 528 | 1978 | Graduation | Married | $65,819.00 | 0 | 0 | 11/29/12 | 99 | 267 | 38 | 701 | 149 | 165 | 63 | 1 | 5 | 4 | 10 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | IND |
| 2239 | 4070 | 1969 | PhD | Married | $94,871.00 | 0 | 2 | 9/1/12 | 99 | 169 | 24 | 553 | 188 | 0 | 144 | 1 | 8 | 5 | 4 | 7 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | CA |